Overview

Brought to you by YData

Dataset statistics

Number of variables9
Number of observations1063
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory83.0 KiB
Average record size in memory80.0 B

Variable types

Numeric8
Text1

Alerts

Average_SAT_Score is highly overall correlated with Completion_Rate and 4 other fieldsHigh correlation
Completion_Rate is highly overall correlated with Average_SAT_Score and 4 other fieldsHigh correlation
In-State_Tuition is highly overall correlated with Average_SAT_Score and 3 other fieldsHigh correlation
Median_Earnings_10_Years_After is highly overall correlated with Average_SAT_Score and 4 other fieldsHigh correlation
Out-of-State_Tuition is highly overall correlated with Average_SAT_Score and 4 other fieldsHigh correlation
Pell_Grant_Rate is highly overall correlated with Average_SAT_Score and 3 other fieldsHigh correlation
Admission_Rate has 62 (5.8%) zerosZeros

Reproduction

Analysis started2024-09-24 19:54:53.710375
Analysis finished2024-09-24 19:54:59.627444
Duration5.92 seconds
Software versionydata-profiling vv4.10.0
Download configurationconfig.json

Variables

Admission_Rate
Real number (ℝ)

ZEROS 

Distinct913
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.53109278
Minimum0
Maximum1
Zeros62
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2024-09-24T15:54:59.697958image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.33354337
median0.55698075
Q30.74935299
95-th percentile0.93504536
Maximum1
Range1
Interquartile range (IQR)0.41580962

Descriptive statistics

Standard deviation0.27549832
Coefficient of variation (CV)0.51873858
Kurtosis-0.81578514
Mean0.53109278
Median Absolute Deviation (MAD)0.19768829
Skewness-0.33110154
Sum564.55163
Variance0.075899322
MonotonicityNot monotonic
2024-09-24T15:54:59.838212image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62
 
5.8%
1 7
 
0.7%
0.6226613682 3
 
0.3%
0.2593903671 3
 
0.3%
0.2894571578 3
 
0.3%
0.753113436 3
 
0.3%
0.725317246 2
 
0.2%
0.6245505561 2
 
0.2%
0.7457885369 2
 
0.2%
0.598522214 2
 
0.2%
Other values (903) 974
91.6%
ValueCountFrequency (%)
0 62
5.8%
0.001202248481 1
 
0.1%
0.002874787954 1
 
0.1%
0.003395781147 1
 
0.1%
0.005109718026 1
 
0.1%
0.007308070326 1
 
0.1%
0.007489739544 1
 
0.1%
0.01124047713 1
 
0.1%
0.01204509415 1
 
0.1%
0.01304738955 1
 
0.1%
ValueCountFrequency (%)
1 7
0.7%
0.9982686605 1
 
0.1%
0.9967549595 1
 
0.1%
0.9902805767 1
 
0.1%
0.9892035476 1
 
0.1%
0.9887728987 1
 
0.1%
0.9885576091 1
 
0.1%
0.9883423428 2
 
0.2%
0.9881270998 1
 
0.1%
0.9823243252 1
 
0.1%

In-State_Tuition
Real number (ℝ)

HIGH CORRELATION 

Distinct1014
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.41460781
Minimum0
Maximum1
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2024-09-24T15:54:59.953619image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.10824984
Q10.16270753
median0.39698676
Q30.60839611
95-th percentile0.89867037
Maximum1
Range1
Interquartile range (IQR)0.44568858

Descriptive statistics

Standard deviation0.26231
Coefficient of variation (CV)0.63267018
Kurtosis-1.0650337
Mean0.41460781
Median Absolute Deviation (MAD)0.22755796
Skewness0.42698209
Sum440.72811
Variance0.068806536
MonotonicityNot monotonic
2024-09-24T15:55:00.077132image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2214583486 6
 
0.6%
0.1161559277 5
 
0.5%
0.2097564543 5
 
0.5%
0.2326336576 4
 
0.4%
0.6387771521 3
 
0.3%
0.6084985007 2
 
0.2%
0.4487676443 2
 
0.2%
0.2896218825 2
 
0.2%
0.3949389307 2
 
0.2%
0.1171359614 2
 
0.2%
Other values (1004) 1030
96.9%
ValueCountFrequency (%)
0 2
0.2%
0.01474438675 1
0.1%
0.0432970087 1
0.1%
0.0462956191 1
0.1%
0.048796899 1
0.1%
0.04908944635 1
0.1%
0.05083010312 1
0.1%
0.05094712207 1
0.1%
0.05713449865 1
0.1%
0.06295619103 1
0.1%
ValueCountFrequency (%)
1 1
0.1%
0.9725736854 1
0.1%
0.9674394793 1
0.1%
0.9631244058 1
0.1%
0.954026183 1
0.1%
0.952914503 1
0.1%
0.9511884736 1
0.1%
0.9478534338 1
0.1%
0.9472683391 1
0.1%
0.9467710086 1
0.1%

Out-of-State_Tuition
Real number (ℝ)

HIGH CORRELATION 

Distinct1015
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.48180183
Minimum0
Maximum1
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2024-09-24T15:55:00.211732image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.18394939
Q10.30663351
median0.4621078
Q30.61420317
95-th percentile0.89867037
Maximum1
Range1
Interquartile range (IQR)0.30756966

Descriptive statistics

Standard deviation0.21526021
Coefficient of variation (CV)0.44678163
Kurtosis-0.61760567
Mean0.48180183
Median Absolute Deviation (MAD)0.15399693
Skewness0.42254648
Sum512.15534
Variance0.046336956
MonotonicityNot monotonic
2024-09-24T15:55:00.344334image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3632560521 6
 
0.6%
0.3452351349 5
 
0.5%
0.3115775616 5
 
0.5%
0.385723689 4
 
0.4%
0.3949389307 3
 
0.3%
0.6387771521 3
 
0.3%
0.3785562788 3
 
0.3%
0.6084985007 2
 
0.2%
0.4788122577 2
 
0.2%
0.4487676443 2
 
0.2%
Other values (1005) 1028
96.7%
ValueCountFrequency (%)
0 2
0.2%
0.01474438675 1
0.1%
0.0603817743 1
0.1%
0.06634974036 1
0.1%
0.07831492723 1
0.1%
0.08709134791 1
0.1%
0.09142104878 1
0.1%
0.09221092664 1
0.1%
0.1066481387 1
0.1%
0.1068382944 1
0.1%
ValueCountFrequency (%)
1 1
0.1%
0.9725736854 1
0.1%
0.9674394793 1
0.1%
0.9631244058 1
0.1%
0.954026183 1
0.1%
0.952914503 1
0.1%
0.9511884736 1
0.1%
0.9478534338 1
0.1%
0.9472683391 1
0.1%
0.9467710086 1
0.1%

Student_Size
Real number (ℝ)

Distinct982
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.56188738
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2024-09-24T15:55:00.464725image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.31762186
Q10.44520243
median0.54422774
Q30.67712037
95-th percentile0.8596607
Maximum1
Range1
Interquartile range (IQR)0.23191794

Descriptive statistics

Standard deviation0.16620469
Coefficient of variation (CV)0.29579716
Kurtosis-0.11445452
Mean0.56188738
Median Absolute Deviation (MAD)0.11074938
Skewness0.17792265
Sum597.28629
Variance0.027624
MonotonicityNot monotonic
2024-09-24T15:55:00.594604image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4386673482 5
 
0.5%
0.3646390251 3
 
0.3%
0.5335290755 3
 
0.3%
0.4711015174 3
 
0.3%
0.2236931723 3
 
0.3%
0.4670908872 2
 
0.2%
0.3703136606 2
 
0.2%
0.4819335213 2
 
0.2%
0.4302715644 2
 
0.2%
0.4612353797 2
 
0.2%
Other values (972) 1036
97.5%
ValueCountFrequency (%)
0 1
0.1%
0.04902330658 1
0.1%
0.05856798233 1
0.1%
0.08992084326 1
0.1%
0.09992633715 1
0.1%
0.1239932803 1
0.1%
0.1533660312 1
0.1%
0.1580275069 1
0.1%
0.1651818351 1
0.1%
0.1760904855 1
0.1%
ValueCountFrequency (%)
1 1
0.1%
0.997317052 1
0.1%
0.9646734451 1
0.1%
0.9551430279 1
0.1%
0.9524367771 1
0.1%
0.9509288584 1
0.1%
0.944894926 1
0.1%
0.9439653303 1
0.1%
0.9418253588 1
0.1%
0.9401175828 1
0.1%

Average_SAT_Score
Real number (ℝ)

HIGH CORRELATION 

Distinct428
Distinct (%)40.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.60450445
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2024-09-24T15:55:00.744253image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.28391946
Q10.48443357
median0.59164128
Q30.73219292
95-th percentile0.9701347
Maximum1
Range1
Interquartile range (IQR)0.24775935

Descriptive statistics

Standard deviation0.19690298
Coefficient of variation (CV)0.32572627
Kurtosis-0.17046911
Mean0.60450445
Median Absolute Deviation (MAD)0.12535869
Skewness0.008768575
Sum642.58824
Variance0.038770784
MonotonicityNot monotonic
2024-09-24T15:55:01.051467image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5026659887 33
 
3.1%
1 32
 
3.0%
0.4345695347 28
 
2.6%
0.5506032661 17
 
1.6%
0.5960842703 15
 
1.4%
0.6936605898 12
 
1.1%
0.6532220596 11
 
1.0%
0.3800587187 9
 
0.8%
0.5916412755 9
 
0.8%
0.5349068064 9
 
0.8%
Other values (418) 888
83.5%
ValueCountFrequency (%)
0 1
0.1%
0.03165008393 1
0.1%
0.05227390708 1
0.1%
0.0548257349 1
0.1%
0.07252874713 1
0.1%
0.0948866728 1
0.1%
0.09979474927 1
0.1%
0.1022406674 1
0.1%
0.1143897735 1
0.1%
0.116803622 1
0.1%
ValueCountFrequency (%)
1 32
3.0%
0.9995651662 1
 
0.1%
0.9986946477 1
 
0.1%
0.9960762656 1
 
0.1%
0.9952011885 1
 
0.1%
0.9943249661 3
 
0.3%
0.9934475961 1
 
0.1%
0.9899265951 1
 
0.1%
0.9881591499 1
 
0.1%
0.9828288143 3
 
0.3%

Median_Earnings_10_Years_After
Real number (ℝ)

HIGH CORRELATION 

Distinct955
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.61309917
Minimum0
Maximum1
Zeros10
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2024-09-24T15:55:01.192908image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.33206448
Q10.49317002
median0.59878401
Q30.72402212
95-th percentile0.98412357
Maximum1
Range1
Interquartile range (IQR)0.23085209

Descriptive statistics

Standard deviation0.18590914
Coefficient of variation (CV)0.30322849
Kurtosis0.41859757
Mean0.61309917
Median Absolute Deviation (MAD)0.1107272
Skewness0.010106804
Sum651.72442
Variance0.034562208
MonotonicityNot monotonic
2024-09-24T15:55:01.317729image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 46
 
4.3%
0.6994517723 19
 
1.8%
0 10
 
0.9%
0.8272816669 4
 
0.4%
0.7334120328 4
 
0.4%
0.9378668481 3
 
0.3%
0.6351200075 2
 
0.2%
0.768843575 2
 
0.2%
0.44000051 2
 
0.2%
0.5988683825 2
 
0.2%
Other values (945) 969
91.2%
ValueCountFrequency (%)
0 10
0.9%
0.1013473591 1
 
0.1%
0.1608369893 1
 
0.1%
0.1680791359 1
 
0.1%
0.1883638663 1
 
0.1%
0.1887250926 1
 
0.1%
0.1962572959 1
 
0.1%
0.2002523115 1
 
0.1%
0.2030804383 1
 
0.1%
0.2143075561 1
 
0.1%
ValueCountFrequency (%)
1 46
4.3%
0.9975692199 1
 
0.1%
0.9971330456 1
 
0.1%
0.9956250536 1
 
0.1%
0.99469154 1
 
0.1%
0.9944729543 1
 
0.1%
0.9911595354 1
 
0.1%
0.9854767927 1
 
0.1%
0.9841847158 1
 
0.1%
0.9835732522 1
 
0.1%

Completion_Rate
Real number (ℝ)

HIGH CORRELATION 

Distinct981
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.58039922
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2024-09-24T15:55:01.427517image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.24439528
Q10.44463354
median0.58089403
Q30.72401861
95-th percentile0.91553211
Maximum1
Range1
Interquartile range (IQR)0.27938507

Descriptive statistics

Standard deviation0.19902063
Coefficient of variation (CV)0.342903
Kurtosis-0.4475251
Mean0.58039922
Median Absolute Deviation (MAD)0.13955071
Skewness-0.10421235
Sum616.96437
Variance0.039609212
MonotonicityNot monotonic
2024-09-24T15:55:01.539680image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6705241661 3
 
0.3%
0.355570683 3
 
0.3%
0.641025641 3
 
0.3%
0.5238257318 3
 
0.3%
0.4853641933 3
 
0.3%
0.4150215566 2
 
0.2%
0.7794417971 2
 
0.2%
0.7235080554 2
 
0.2%
0.4916042659 2
 
0.2%
0.8815520762 2
 
0.2%
Other values (971) 1038
97.6%
ValueCountFrequency (%)
0 1
0.1%
0.009530292716 1
0.1%
0.03562514182 1
0.1%
0.07749035625 1
0.1%
0.07862491491 1
0.1%
0.09246653052 1
0.1%
0.1004084411 1
0.1%
0.1017699115 1
0.1%
0.1027910143 1
0.1%
0.1232130701 1
0.1%
ValueCountFrequency (%)
1 1
0.1%
0.9990923531 1
0.1%
0.9979577944 1
0.1%
0.986498752 1
0.1%
0.9853641933 1
0.1%
0.9850238257 1
0.1%
0.9821874291 1
0.1%
0.9807125028 1
0.1%
0.9787837531 1
0.1%
0.9777626503 1
0.1%

Pell_Grant_Rate
Real number (ℝ)

HIGH CORRELATION 

Distinct929
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.60741592
Minimum0
Maximum1
Zeros6
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2024-09-24T15:55:01.644755image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.35728545
Q10.48670243
median0.605525
Q30.71720459
95-th percentile0.89270184
Maximum1
Range1
Interquartile range (IQR)0.23050217

Descriptive statistics

Standard deviation0.16762424
Coefficient of variation (CV)0.27596288
Kurtosis0.2956913
Mean0.60741592
Median Absolute Deviation (MAD)0.11520074
Skewness0.026714755
Sum645.68312
Variance0.028097887
MonotonicityNot monotonic
2024-09-24T15:55:01.750805image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 25
 
2.4%
0 6
 
0.6%
0.7242081041 3
 
0.3%
0.4903242632 3
 
0.3%
0.6011942864 3
 
0.3%
0.6434947581 3
 
0.3%
0.4624344403 3
 
0.3%
0.7317621258 3
 
0.3%
0.6965628405 3
 
0.3%
0.7304669224 2
 
0.2%
Other values (919) 1009
94.9%
ValueCountFrequency (%)
0 6
0.6%
0.2221178588 1
 
0.1%
0.2356939085 1
 
0.1%
0.2468983157 1
 
0.1%
0.2552777508 1
 
0.1%
0.2843790732 1
 
0.1%
0.2853800044 1
 
0.1%
0.2875751597 1
 
0.1%
0.2897609613 1
 
0.1%
0.2915424906 1
 
0.1%
ValueCountFrequency (%)
1 25
2.4%
0.9992847286 1
 
0.1%
0.9954320787 1
 
0.1%
0.9952342796 1
 
0.1%
0.984917854 1
 
0.1%
0.9820302525 1
 
0.1%
0.9802355301 1
 
0.1%
0.9760405954 1
 
0.1%
0.9734386133 1
 
0.1%
0.9676199592 1
 
0.1%

College_Name
Text

Distinct1056
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size16.6 KiB
2024-09-24T15:55:02.051844image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length65
Median length50
Mean length25.44873
Min length11

Characters and Unicode

Total characters27052
Distinct characters59
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1051 ?
Unique (%)98.9%

Sample

1st rowAlabama A & M University
2nd rowUniversity of Alabama at Birmingham
3rd rowUniversity of Alabama in Huntsville
4th rowAlabama State University
5th rowThe University of Alabama
ValueCountFrequency (%)
university 677
 
19.9%
college 282
 
8.3%
of 267
 
7.9%
state 158
 
4.7%
the 39
 
1.1%
at 37
 
1.1%
saint 28
 
0.8%
pennsylvania 28
 
0.8%
campus 26
 
0.8%
texas 25
 
0.7%
Other values (979) 1828
53.8%
2024-09-24T15:55:02.485819image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 2683
 
9.9%
i 2515
 
9.3%
2334
 
8.6%
n 1978
 
7.3%
t 1953
 
7.2%
r 1582
 
5.8%
s 1503
 
5.6%
a 1481
 
5.5%
o 1477
 
5.5%
l 1257
 
4.6%
Other values (49) 8289
30.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 27052
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 2683
 
9.9%
i 2515
 
9.3%
2334
 
8.6%
n 1978
 
7.3%
t 1953
 
7.2%
r 1582
 
5.8%
s 1503
 
5.6%
a 1481
 
5.5%
o 1477
 
5.5%
l 1257
 
4.6%
Other values (49) 8289
30.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 27052
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 2683
 
9.9%
i 2515
 
9.3%
2334
 
8.6%
n 1978
 
7.3%
t 1953
 
7.2%
r 1582
 
5.8%
s 1503
 
5.6%
a 1481
 
5.5%
o 1477
 
5.5%
l 1257
 
4.6%
Other values (49) 8289
30.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 27052
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 2683
 
9.9%
i 2515
 
9.3%
2334
 
8.6%
n 1978
 
7.3%
t 1953
 
7.2%
r 1582
 
5.8%
s 1503
 
5.6%
a 1481
 
5.5%
o 1477
 
5.5%
l 1257
 
4.6%
Other values (49) 8289
30.6%

Interactions

2024-09-24T15:54:58.770688image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:53.846894image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:54.465430image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:55.054759image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:55.734577image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:56.386370image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:57.018446image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:58.086059image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:58.862647image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:53.948225image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:54.530163image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:55.130946image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:55.821856image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:56.464061image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:57.091802image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:58.163464image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:58.941399image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:54.049372image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:54.598324image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:55.205552image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:55.898570image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:56.541553image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:57.164763image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:58.241859image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:59.020438image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:54.134186image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:54.672382image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:55.283845image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:55.972101image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:56.625665image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:57.312098image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:58.318908image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:59.095723image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:54.198459image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:54.745199image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:55.362558image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:56.048439image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:56.714215image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:57.404472image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:58.410883image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:59.172988image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:54.266343image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:54.824759image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:55.453988image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:56.124324image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:56.789195image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:57.833738image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:58.494271image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:59.255281image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:54.333695image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:54.906206image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:55.547745image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:56.229585image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:56.866096image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:57.924748image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:58.586200image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:59.332419image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:54.399914image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:54.982069image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:55.637333image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:56.312272image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:56.940977image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:58.004876image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-24T15:54:58.682073image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Correlations

2024-09-24T15:55:02.586397image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Admission_RateAverage_SAT_ScoreCompletion_RateIn-State_TuitionMedian_Earnings_10_Years_AfterOut-of-State_TuitionPell_Grant_RateStudent_Size
Admission_Rate1.000-0.379-0.388-0.339-0.242-0.3330.2670.021
Average_SAT_Score-0.3791.0000.8290.5610.6830.689-0.7170.274
Completion_Rate-0.3880.8291.0000.5840.6710.692-0.7170.268
In-State_Tuition-0.3390.5610.5841.0000.5040.900-0.444-0.254
Median_Earnings_10_Years_After-0.2420.6830.6710.5041.0000.626-0.5720.295
Out-of-State_Tuition-0.3330.6890.6920.9000.6261.000-0.530-0.017
Pell_Grant_Rate0.267-0.717-0.717-0.444-0.572-0.5301.000-0.227
Student_Size0.0210.2740.268-0.2540.295-0.017-0.2271.000

Missing values

2024-09-24T15:54:59.439158image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-09-24T15:54:59.566586image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Admission_RateIn-State_TuitionOut-of-State_TuitionStudent_SizeAverage_SAT_ScoreMedian_Earnings_10_Years_AfterCompletion_RatePell_Grant_RateCollege_Name
00.4309740.1466250.2725660.6573600.1731900.3576550.2051281.000000Alabama A & M University
10.7321720.1291890.3103340.7852440.7820090.5784530.6152710.649427University of Alabama at Birmingham
30.5813010.1737440.3623200.6994150.7434010.6778580.5970050.495912University of Alabama in Huntsville
40.9277300.1618960.2837120.5926660.2673120.2420390.2128431.000000Alabama State University
50.6142800.1746510.4724640.9128940.7971630.6440560.7170410.437505The University of Alabama
80.8387790.1331090.2830100.5931400.4363340.4224360.3003180.801018Auburn University at Montgomery
90.1440210.1781030.4821180.8819980.7831860.7235710.8114360.348212Auburn University
100.2834920.3108320.3108320.4185880.6910260.6475570.6616750.509729Birmingham-Southern College
150.6549790.3498870.3498870.4888110.3819260.4067450.1889040.803364Faulkner University
220.3963790.4146860.4146860.3932840.4960780.5057670.4317000.724208Huntingdon College
Admission_RateIn-State_TuitionOut-of-State_TuitionStudent_SizeAverage_SAT_ScoreMedian_Earnings_10_Years_AfterCompletion_RatePell_Grant_RateCollege_Name
44080.4022130.5280480.5280480.4312140.7936920.8927200.5587700.518205DigiPen Institute of Technology
44810.7484140.3876980.3876980.3295530.5506031.0000000.5393691.000000Neumont College of Computer Science
44820.5048600.5623050.5623050.4418170.3856510.4060850.4987520.891965Johnson & Wales University-Charlotte
46110.0000000.2925470.2925470.2005210.5506030.2703210.1271840.784709Visible Music College
46960.5445250.4157830.4157830.2843840.8549220.0000000.6697300.000000Patrick Henry College
47120.1579030.3172680.3172680.2475750.7948510.6283550.5407310.509441The King's College
47570.3974870.0000000.0000000.5962010.3419350.7329390.2440440.916193Jersey College
48220.4797180.1969430.1969430.3546470.6532220.7688440.5080550.697772University of Minnesota-Rochester
49361.0000000.2698750.2698750.0000000.2483010.2336560.7348540.675077Compass College of Film and Media
49510.9171210.1396620.3329770.6870710.2483010.5761140.2507370.836909Texas A&M University-San Antonio